Evidence map›Paper›PMID 40216916›Full record

ArticleScientific reports2025

Identifying and validating PLAU as a potential prognostic biomarker for PDAC.

Peng An, Junhong Wang, Rong Fan

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Peng An *Material Evidence Technology Center, School of Law, Tianjin University of Commerce, Tianjin, 300134, China. anpeng19831021@tjcu.edu.cn.
Junhong Wang *School of Medical Technology, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Rong FanCentral Laboratory, Tianjin Xiqing hospital, Tianjin, 300380, PR China. prosperity_39@sina.cn.

Funding

Department of Health of Hebei Province T2025025Natural Science Foundation of Tianjin Municipality 21JCZDJC01070Tianjin Municipal Health Commission 2021031
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a prevalent cancer with a high mortality rate. This study aims to identify and validate biomarkers for early PDAC diagnosis. We employed the GEO2R online tool to screen differentially expressed genes (DEGs), construct protein interaction networks, and perform functional enrichment analysis, survival prognosis analysis, and expression level validation. We identified 260 DEGs, comprising 165 upregulated genes and 95 downregulated genes. Following functional enrichment and survival analysis, we selected plasminogen activator urokinase (PLAU) for the RNA and protein level verification and preliminary cell phenotype analysis. We found that PLAU knockdown inhibits the proliferation and survival of pancreatic cancer cells. Therefore, PLAU may serve as a potential biomarker, offering new strategies for understanding PDAC's pathological mechanisms.

Indexed as

Biomarkers, TumorCarcinoma, Pancreatic DuctalPancreatic NeoplasmsUrokinase-Type Plasminogen ActivatorCell Line, TumorCell ProliferationGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMembrane ProteinsPrognosisProtein Interaction MapsBiomarkers, TumorMembrane ProteinsPLAU protein, humanUrokinase-Type Plasminogen ActivatorBioinformatics analysisExpression profileHub genePDACPrognosis

Identifiers

PMID40216916
PMCPMC11992124

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.